Optimal modified method for a fractional-diffusion inverse heat conduction problem

Figures & data

Figure 1. (a) Exact and noisy data at x = 1, the noise about 3% and (b) exact and unregularized solutions at x = 0.

Figure 2. (a), (b), (c), (d) Correspond to the solutions at x = 0, 0.1, 0.5, 0.9, respectively.

Figure 3. The error of l² norm vs. the 1/β at x = 0.5.

Figure 4. The error of l² norm vs. the noise ϵ at x = 0.

Figure 5. (a) The computed data at x = 1 and (b) the regularized solutions at x = 0.

Figure 6. (a) The computed data at x = 1 and (b) the regularized solutions at x = 0.